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Development Research at High Geographic Resolution: An Analysis of Night Lights, Firms, and Poverty in India using the SHRUG Open Data Platform

Development Research at High Geographic Resolution: An Analysis of Night Lights, Firms, and... The SHRUG is an open data platform describing multi - distribution of manufacturing employment across villages dimensional socioeconomic development across 600,000 follows a power law: the majority of rural Indians have villages and towns in India. This paper presents three illus - considerably less access to manufacturing employment than trative analyses only possible with high-resolution data. Fir is suggested b st, y aggregate data. Third, a poverty mapping it confirms that nighttime lights are highly significant pr - ox exercise explores local heterogeneity in living standards and ies for population, employment, per-capita consumption, estimates the potential targeting improvement from allocat - and electrification at very local levels. However, elasticities ing programs at the village- rather than at the district-level. between night lights and these variables are far lower in time The SHR UG can serve as a model for open high-resolution series than in cross section, and vary widely across context data in developing countries. and level of aggregation. Next, this study shows that the This paper is a product of the Development Policy Team, Development Economics. It is part of a larger effort by the World Bank to provide open access to its research and make a contribution to development policy discussions around the world. Policy Research Working Papers are also posted on the Web at http://www.worldbank.org/prwp. The authors may be contacted at sasher@jhu.edu. The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent. Produced by the Research Support Team http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Development Research at High Geographic Resolution: An Analysis of Night Lights, Firms, and Poverty in India using the SHRUG Open Data Platform

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DOI
10.1596/1813-9450-9540
Publisher site
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Abstract

The SHRUG is an open data platform describing multi - distribution of manufacturing employment across villages dimensional socioeconomic development across 600,000 follows a power law: the majority of rural Indians have villages and towns in India. This paper presents three illus - considerably less access to manufacturing employment than trative analyses only possible with high-resolution data. Fir is suggested b st, y aggregate data. Third, a poverty mapping it confirms that nighttime lights are highly significant pr - ox exercise explores local heterogeneity in living standards and ies for population, employment, per-capita consumption, estimates the potential targeting improvement from allocat - and electrification at very local levels. However, elasticities ing programs at the village- rather than at the district-level. between night lights and these variables are far lower in time The SHR UG can serve as a model for open high-resolution series than in cross section, and vary widely across context data in developing countries. and level of aggregation. Next, this study shows that the This paper is a product of the Development Policy Team, Development Economics. It is part of a larger effort by the World Bank to provide open access to its research and make a contribution to development policy discussions around the world. Policy Research Working Papers are also posted on the Web at http://www.worldbank.org/prwp. The authors may be contacted at sasher@jhu.edu. The Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent. Produced by the Research Support Team

Published: Feb 9, 2021

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